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                    第 1 章 Kylin 概述
            
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                    1.1  Kylin 特点
            
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                    1.2 Kylin 工作原理
            
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                    1.3 Kylin 技术架构
            
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                    1.4 核心算法
            
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                    1.5 Kylin 中的几核心概念
            
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                    第 2 章 Kylin 环境搭建
            
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                    第 3 章 kylin 快速入门
            
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                    3.1 数据准备
            
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                    3.2 创建 Project
            
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                    3.3 创建数据模型(Model)
            
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                    3.4 创建 Cube
            
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                    3.5 查询
            
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                    第 4 章 Kylin 可视化
            
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                    4.1 JDBC
            
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                    4.2 Zepplin 插件
            
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                    第 5 章 Cube 构建优化
            
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                    5.1 找到问题 Cube
            
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                                <h1 id="11-kylin-&#x7279;&#x70B9;">1.1 Kylin &#x7279;&#x70B9;</h1>
<h2 id="&#x5927;&#x6570;&#x636E;-olap-&#x7684;&#x4E24;&#x4E2A;&#x4E8B;&#x5B9E;">&#x5927;&#x6570;&#x636E; OLAP &#x7684;&#x4E24;&#x4E2A;&#x4E8B;&#x5B9E;:</h2>
<ol>
<li><p>&#x5927;&#x6570;&#x636E;&#x67E5;&#x8BE2;&#x8981;&#x7684;&#x4E00;&#x822C;&#x662F;&#x7EDF;&#x8BA1;&#x7ED3;&#x679C;&#xFF0C;&#x662F;&#x591A;&#x6761;&#x8BB0;&#x5F55;&#x7ECF;&#x8FC7;&#x805A;&#x5408;&#x51FD;&#x6570;&#x8BA1;&#x7B97;&#x540E;&#x7684;&#x7EDF;&#x8BA1;&#x503C;&#x3002;&#x539F;&#x59CB;&#x7684;&#x8BB0;&#x5F55;&#x5219;&#x4E0D;&#x662F;&#x5FC5;&#x9700;&#x7684;&#xFF0C;&#x6216;&#x8005;&#x8BBF;&#x95EE;&#x9891;&#x7387;&#x548C;&#x6982;&#x7387;&#x90FD;&#x6781;&#x4F4E;&#x3002;</p>
</li>
<li><p>&#x805A;&#x5408;&#x662F;&#x6309;&#x7EF4;&#x5EA6;&#x8FDB;&#x884C;&#x7684;&#xFF0C;&#x7531;&#x4E8E;&#x4E1A;&#x52A1;&#x8303;&#x56F4;&#x548C;&#x5206;&#x6790;&#x9700;&#x6C42;&#x662F;&#x6709;&#x9650;&#x7684;&#xFF0C;&#x6709;&#x610F;&#x4E49;&#x7684;&#x7EF4;&#x5EA6;&#x805A;&#x5408;&#x7EC4;&#x5408;&#x4E5F;&#x662F;&#x76F8;&#x5BF9;&#x6709;&#x9650;&#x7684;&#xFF0C;&#x4E00;&#x822C;&#x4E0D;&#x4F1A;&#x968F;&#x7740;&#x6570;&#x636E;&#x7684;&#x81A8;&#x80C0;&#x800C;&#x589E;&#x957F;&#x3002;</p>
</li>
</ol>
<p>Kylin &#x57FA;&#x4E8E;&#x4EE5;&#x4E0A;&#x4E24;&#x70B9;&#xFF0C;&#x5F97;&#x5230;&#x4E00;&#x4E2A;&#x65B0;&#x7684;&#x601D;&#x8DEF;&#x2014;&#x2014;<my>&#x9884;&#x8BA1;&#x7B97;</my>&#x3002;&#x5E94;&#x5C3D;&#x91CF;&#x591A;&#x5730;&#x9884;&#x5148;&#x8BA1;&#x7B97;&#x805A;&#x5408;&#x7ED3;&#x679C;&#xFF0C;&#x5728;&#x67E5;&#x8BE2;&#x65F6;&#x523B;&#x5E94;&#x5C3D;&#x91CF;&#x4F7F;&#x7528;&#x9884;&#x7B97;&#x7684;&#x7ED3;&#x679C;&#x5F97;&#x51FA;&#x67E5;&#x8BE2;&#x7ED3;&#x679C;&#xFF0C;&#x4ECE;&#x800C;&#x907F;&#x514D;&#x76F4;&#x63A5;&#x626B;&#x63CF;&#x53EF;&#x80FD;&#x65E0;&#x9650;&#x589E;&#x957F;&#x7684;&#x539F;&#x59CB;&#x8BB0;&#x5F55;&#x3002;</p>
<h2 id="kylin&#x7279;&#x70B9;">Kylin&#x7279;&#x70B9;</h2>
<p>Kylin &#x7684;&#x4E3B;&#x8981;&#x7279;&#x70B9;&#x5305;&#x62EC;&#x652F;&#x6301; SQL &#x63A5;&#x53E3;&#x3001;&#x652F;&#x6301;&#x8D85;&#x5927;&#x89C4;&#x6A21;&#x6570;&#x636E;&#x96C6;&#x3001;&#x4E9A;&#x79D2;&#x7EA7;&#x54CD;&#x5E94;&#x3001;&#x53EF;&#x4F38;&#x7F29;&#x6027;&#x3001;&#x9AD8;&#x541E;&#x5410;&#x7387;&#x3001;BI &#x5DE5;&#x5177;&#x96C6;&#x6210;&#x7B49;</p>
<ul>
<li><p>&#x53EF;&#x6269;&#x5C55;&#x8D85;&#x5FEB; OLAP &#x5F15;&#x64CE; 
Kylin&#x662F;&#x4E3A;&#x51CF;&#x5C11;&#x5728; Hadoop/Spark &#x4E0A;&#x767E;&#x4EBF;&#x89C4;&#x6A21;&#x6570;&#x636E;&#x67E5;&#x8BE2;&#x5EF6;&#x8FDF;&#x800C;&#x8BBE;&#x8BA1;</p>
<blockquote>
<p>On-Line Analytical Processing&#xFF0C;&#x7B80;&#x79F0;OLAP</p>
</blockquote>
</li>
<li><p>Hadoop ANSI SQL &#x63A5;&#x53E3;
Kylin&#x4E3A;Hadoop&#x63D0;&#x4F9B;&#x6807;&#x51C6;SQL&#x652F;&#x6301;&#x5927;&#x90E8;&#x5206;&#x67E5;&#x8BE2;&#x529F;&#x80FD;</p>
</li>
<li><p>&#x4EA4;&#x4E92;&#x5F0F;&#x67E5;&#x8BE2;&#x80FD;&#x529B;
&#x901A;&#x8FC7; Kylin&#xFF0C;&#x7528;&#x6237;&#x53EF;&#x4EE5;&#x4E0E; Hadoop &#x6570;&#x636E;&#x8FDB;&#x884C;&#x4E9A;&#x79D2;&#x7EA7;&#x4EA4;&#x4E92;&#xFF0C;&#x5728;&#x540C;&#x6837;&#x7684;&#x6570;&#x636E;&#x96C6;&#x4E0A;&#x63D0;&#x4F9B;&#x6BD4;Hive &#x66F4;&#x597D;&#x7684;&#x6027;&#x80FD;</p>
</li>
<li><p>&#x591A;&#x7EF4;&#x7ACB;&#x65B9;&#x4F53;&#xFF08;MOLAP Cube)
&#x7528;&#x6237;&#x80FD;&#x591F;&#x5728; Kylin &#x91CC;&#x4E3A;&#x767E;&#x4EBF;&#x4EE5;&#x4E0A;&#x6570;&#x636E;&#x96C6;&#x5B9A;&#x4E49;&#x6570;&#x636E;&#x6A21;&#x578B;&#x5E76;&#x6784;&#x5EFA;&#x7ACB;&#x65B9;&#x4F53;</p>
</li>
<li><p>&#x4E0E; BI &#x5DE5;&#x5177;&#x65E0;&#x7F1D;&#x6574;&#x5408;
Kylin &#x63D0;&#x4F9B;&#x4E0E; BI &#x5DE5;&#x5177;&#x7684;&#x6574;&#x5408;&#x80FD;&#x529B;&#xFF0C;&#x5982; Tableau&#xFF0C;PowerBI/Excel&#xFF0C;MSTR&#xFF0C;QlikSense&#xFF0C;Hue &#x548C; SuperSet</p>
<blockquote>
<p>BI: Business intelligence &#x5546;&#x4E1A;&#x667A;&#x80FD;</p>
</blockquote>
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